Region-based moving object detection using spatially conditioned nonparametric models in a GPU

Berjón Díez, Daniel and Cuevas Rodríguez, Carlos and Morán Burgos, Francisco and García Santos, Narciso (2014). Region-based moving object detection using spatially conditioned nonparametric models in a GPU. In: "IEEE International Conference on Consumer Electronics (ICCE 2014)", 10/01/2014 - 13/01/2014, Las Vegas, Nevada, USA. pp. 359-360.

Description

Title: Region-based moving object detection using spatially conditioned nonparametric models in a GPU
Author/s:
  • Berjón Díez, Daniel
  • Cuevas Rodríguez, Carlos
  • Morán Burgos, Francisco
  • García Santos, Narciso
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE International Conference on Consumer Electronics (ICCE 2014)
Event Dates: 10/01/2014 - 13/01/2014
Event Location: Las Vegas, Nevada, USA
Title of Book: IEEE International Conference on Consumer Electronics (ICCE 2014)
Título de Revista/Publicación: 2014 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE)
Date: 2014
ISSN: 2158-3994
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

A novel GPU-based nonparametric moving object detection strategy for computer vision tools requiring real-time processing is proposed. An alternative and efficient Bayesian classifier to combine nonparametric background and foreground models allows increasing correct detections while avoiding false detections. Additionally, an efficient region of interest analysis significantly reduces the computational cost of the detections.

More information

Item ID: 36200
DC Identifier: http://oa.upm.es/36200/
OAI Identifier: oai:oa.upm.es:36200
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6776041&tag=1
Deposited by: Memoria Investigacion
Deposited on: 04 Jul 2015 07:34
Last Modified: 04 Jul 2015 07:34
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